Towards Activity Context using Software Sensors

Service-Oriented Computing delivers the promise of configuring and reconfiguring software systems to address user's needs in a dynamic way. Context-aware computing promises to capture the user's needs and hence the requirements they have on systems. The marriage of both can deliver ad-hoc software solutions relevant to the user in the most current fashion. However, here it is a key to gather information on the users' activity (that is what they are doing). Traditionally any context sensing was conducted with hardware sensors. However, software can also play the same role and in some situations will be more useful to sense the activity of the user. Furthermore they can make use of the fact that Service-oriented systems exchange information through standard protocols. In this paper we discuss our proposed approach to sense the activity of the user making use of software

Acculturation in Food Choices among U.S. Immigrants

Immigration has made the U.S. more racially and ethnically diverse. With this diversity comes heterogeneity in dietary behaviors and health disparities. We used the food and nutrient database from the U.S. Department of Agriculture (USDA) and estimated econometric models explaining the daily consumption of milk, meat, processed meat, fruits, and vegetables among immigrants and people born in the U.S. Tests for differences in consumption between immigrants with different race and ethnicity and their U.S. born counterparts were performed. In addition, we simulated the effects of time of residency on food consumption among the different immigrant groups. The results show that immigrants tend to have lower consumption of meat but higher consumption of fruits and vegetables than their U.S. born counterparts, but the differences begin to disappear after being in the U.S. for five years. The findings may help policymakers to craft food assistance programs aimed at reducing obesity and related health problems among different racial and ethnic groups in the U.S. Acknowledgement : The findings and conclusions in this presentation are those of the authors and do not represent the views of the Economic Research Service of the U.S. Department of Agriculture. The Research Council of Norway (BION R), Grant no 233800 provided financial support for this research

Organisational innovation facilitators as drivers for international trade between China and European Union

This paper analyses the role of innovation policy and the main facilitators to promote China's international trade in the European Union. The theme Innovation Policy of China to potentiate their international trade in the European Union (EU), from 2014 to 2019. To undertake this, research was established the literature survey. The results show that regarding the research areas there is a multiplicity of themes, including Trade Policy, Digital Trade, International negotiations, Multilateral relations, Leadership, China – Politics & Government, Digital Trade Apps, International Trade, Trade Balance, and Goods balance. Also, the US–China trade war has consequences on the GTC because China, but also the EU and other countries are focussing their trade interest in other regions, especially consumers in Asia, Eurasia, Africa, and South America. For future studies, it is suggested to expand the search for articles concerning China and EU Trade on other databases.info:eu-repo/semantics/publishedVersio

Parameterized Model Order Reduction

This Chapter introduces parameterized, or parametric, Model Order Reduction (pMOR). The Sections are offered in a prefered order for reading, but can be read independently. Section 5.1, written by Jorge Fernández Villena, L. Miguel Silveira, Wil H.A. Schilders, Gabriela Ciuprina, Daniel Ioan and Sebastian Kula, overviews the basic principles for pMOR. Due to higher integration and increasing frequency-based effects, large, full Electromagnetic Models (EM) are needed for accurate prediction of the real behavior of integrated passives and interconnects. Furthermore, these structures are subject to parametric effects due to small variations of the geometric and physical properties of the inherent materials and manufacturing process. Accuracy requirements lead to huge models, which are expensive to simulate and this cost is increased when parameters and their effects are taken into account. This Section introduces the framework of pMOR, which aims at generating reduced models for systems depending on a set of parameters